Edu-Bot: A New Approach to Learning Python Effectively

Background- Ayurveda has described several treatment modalities regarding the treatment of Raktagata Vata including the usage of herbo-mineral formulations, yoga and lifestyle modifications. The purpose of this study is to compare the efficacy of a mineral formulation Akika Pishti with Jatamansyadi kwath in the treatment of Raktagata Vata patients. Despite the fact that there are many formulations, no research has been done to demonstrate Akika Pishti's effectiveness in treating Raktagata vata. Methods and design- In a prospective, open labelled, randomized controlled trial, 60 patients, between 18 and 45 years, diagnosed with Raktagata Vata, presenting with cardinal features of Raktagata Vata as presented in Ayurvedic texts, two groups will be randomly assigned. In Group one, the patients will be given Akika Pishti and in Group two, patients will be given Jatamansyadi kwatha. Guidelines regarding Pathya-apathya will be given to both the groups. The course of treatment will last for 28 days for both groups. Outcomes will be evaluated on 7th, 14th, 21st & 28th (During treatment) & 42nd day (post-treatment). Result: The primary result will be assessed by checking the grading of the cardinal symptoms of Raktagata Vata mentioned in Ayurvedic texts. Secondary outcome will check for reduction in systolic and diastolic blood pressure and improvement in quality of life of the patient. Conclusion: This trial compares the efficacy of Akika Pishti with Jatamansyadi kwath in the patients of Raktagata Vata. Akika Pishti is envisioned to improve the symptoms of Raktagata Vata, thus proving to be effective in management of patients of Raktagata Vata

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.70800
Primary Topic
Computational Physics and Python Applications
Type
article
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article

Edu-Bot: A New Approach to Learning Python Effectively

M S Mohammed Zubair Darvesh
International Journal for Research in Applied Science and Engineering Technology
Computational Physics and Python Applications
article

Edu-Bot: A New Approach to Learning Python Effectively

M S Mohammed Zubair Darvesh
article en

Abstract

Background- Ayurveda has described several treatment modalities regarding the treatment of Raktagata Vata including the usage of herbo-mineral formulations, yoga and lifestyle modifications. The purpose of this study is to compare the efficacy of a mineral formulation Akika Pishti with Jatamansyadi kwath in the treatment of Raktagata Vata patients. Despite the fact that there are many formulations, no research has been done to demonstrate Akika Pishti's effectiveness in treating Raktagata vata. Methods and design- In a prospective, open labelled, randomized controlled trial, 60 patients, between 18 and 45 years, diagnosed with Raktagata Vata, presenting with cardinal features of Raktagata Vata as presented in Ayurvedic texts, two groups will be randomly assigned. In Group one, the patients will be given Akika Pishti and in Group two, patients will be given Jatamansyadi kwatha. Guidelines regarding Pathya-apathya will be given to both the groups. The course of treatment will last for 28 days for both groups. Outcomes will be evaluated on 7th, 14th, 21st & 28th (During treatment) & 42nd day (post-treatment). Result: The primary result will be assessed by checking the grading of the cardinal symptoms of Raktagata Vata mentioned in Ayurvedic texts. Secondary outcome will check for reduction in systolic and diastolic blood pressure and improvement in quality of life of the patient. Conclusion: This trial compares the efficacy of Akika Pishti with Jatamansyadi kwath in the patients of Raktagata Vata. Akika Pishti is envisioned to improve the symptoms of Raktagata Vata, thus proving to be effective in management of patients of Raktagata Vata

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 95%
Computational Physics and Python Applications
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